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Official link to the TDS-C01 Exam

Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is a popular certification exam designed for individuals seeking to validate their skills and knowledge in Tableau Desktop. This exam is ideal for those who want to become experts in data visualization, analysis, and reporting using Tableau Desktop. It is also suitable for professionals who want to enhance their career opportunities and gain recognition in the industry.

The TDS-C01 exam is a computer-based test that comprises 36 multiple-choice questions that must be answered within 120 minutes. The exam is proctored, and candidates can take the exam online or in-person at designated test centers. The passing score for the exam is 75%, and candidates who pass the exam receive a Tableau Desktop Specialist certification. The certification is valid for three years, after which the candidate must retake the exam to maintain their certification. Overall, the TDS-C01 exam is an excellent way for individuals to demonstrate their Tableau Desktop skills and improve their career prospects in the data analytics field.

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Tableau Desktop Specialist Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which of the following are FALSE about Joins?

A. They are a more dynamic way than relationships to combine data
B. Joined tables are never merged into a single table.
C. They are displayed with Venn diagram icons between physical tables
D. Joins can be defined at the time of query dynamically
E. May drop unmatched measure values

Answer: A,B,D

Explanation:
According to the official documentation:
Joins are a more static way to combine data. Joins must be defined between physical tables up front, before analysis, and can't be changed without impacting all sheets using that data source. Joined tables are always merged into a single table. As a result, sometimes joined data is missing unmatched values, or duplicates aggregated values.
Joins -
1) Are displayed with Venn diagram icons between physical tables
2) Require you to select join types and join clauses
3) Joined physical tables are merged into a single logical table with a fixed combination of data
4) May drop unmatched measure values
5) May duplicate aggregate values when fields are at different levels of detail
6) Support scenarios that require a single table of data, such as extract filters and aggregation

NEW QUESTION # 28
______________ refers to the level of detail for a piece of data, wherever you are looking.

A. Data LOD
B. Data Cleanliness
C. Data connectivity
D. Data granularity

Answer: D

Explanation:
Explanation
Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.

NEW QUESTION # 29
When field names in the Union do not match, then:

A. An error is raised and both fields are dropped from the resulting Union
B. Only one field name is present in the Union with correct values since Tableau automatically corrects field name mismatch
C. Both field names are present in the Union, but contain several null
D. Only one field name is present in the Union with null values

Answer: C

Explanation:
values
Explanation:
By default, both field names are present in the Union, but contain several null values!
When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016."

A union of these tables creates the following single table that contains all rows from all tables.

Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."

NEW QUESTION # 30
Which of the following are valid Layout Container types when using Dashboards in Tableau?

A. Horizontal Container
B. Vertical Container
C. Diagonal Container
D. Split Container

Answer: A,B

Explanation:

NEW QUESTION # 31
Which of the following would you use to edit the Shape, colour, and Text of your visualisations?

A. Data Pane
B. Marks Card
C. Analytics Pane
D. Filter Shelf

Answer: B

Explanation:
The Marks Card allows us not only to edit the Shape, Text and Colour, but also to modify the Tooltip and the level of detail of the visualisation!

The Marks card is a key element for visual analysis in Tableau. As you drag fields to different properties in the Marks card, you add context and detail to the marks in the view.

You use the Marks card to set the mark type (see Change the Type of Mark in the View), and to encode your data with color, size, shape, text, and detail. To change the mark settings, see Control the Appearance of Marks in the View.

In this example, three different fields have been dragged to different properties in the Marks card. Segment is on Color, Region is on Shape, and Quantity is on Size.
After you add a field to the Marks card, you can click the icon next to the field to change the property it is using. You can also click the property buttons in the Marks card to change those settings.
Many properties can have multiple fields. For example, you can add multiple fields to Label, Detail, Tooltip, and Color. Size and Shape can only have one field at a time. For more details, see Control the Appearance of Marks in the View.

NEW QUESTION # 32
......

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